Rhoda E. Kuc

98 papers receiving 3.3k citations

Peers

Rhoda E. Kuc
Comparison fields: 5 of 107
  • Pharmacology 819
  • Cardiology and Cardiovascular Medicine 979
  • Physiology 1.2k
  • Endocrinology, Diabetes and Metabolism 499
  • Cellular and Molecular Neuroscience 451
Replace Kai Hu with:
Kai Hu Germany
Lan Mao United States
Marshall A. Corson United States
Yukio Hara Japan
Fina Lovren Canada
Ryuichi Hattori Japan
Masao Sasamata Japan
Stanko Skrtic Sweden
Matthew A. Movsesian United States
Frank Schweda Germany
Rhoda E. Kuc relative to Kai Hu Germany Kai Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rhoda E. Kuc

Since Specialization
Citations

This map shows the geographic impact of Rhoda E. Kuc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rhoda E. Kuc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhoda E. Kuc more than expected).

Fields of papers citing papers by Rhoda E. Kuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhoda E. Kuc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rhoda E. Kuc. The network helps show where Rhoda E. Kuc may publish in the future.

Co-authors

The 25 scholars most cited alongside Rhoda E. Kuc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rhoda E. Kuc Line = papers co-authored together Rhoda E. Kuc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993213
2 2000212
3 2017190
4 1986150
5 2012148
6 1995139
7 2006113
8 1993106
9 201094
10 200493
11 201282
12 201675
13 201661
14 199460
15 201058
16 199656
17 199255
18 200255
19 199454
20 200654

About Rhoda E. Kuc

Rhoda E. Kuc is a scholar working on Physiology, Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine and Surgery, having authored 98 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (42 papers), Receptor Mechanisms and Signaling (27 papers), Apelin-related biomedical research (27 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (17 papers), Renin-Angiotensin System Studies (12 papers), Nuclear Receptors and Signaling (7 papers), Hormonal Regulation and Hypertension (7 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Pharmacology (819 citations), Cardiology and Cardiovascular Medicine (979 citations), Physiology (1.2k citations), Endocrinology, Diabetes and Metabolism (499 citations) and Cellular and Molecular Neuroscience (451 citations). Rhoda E. Kuc has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Anthony P. Davenport, Janet J. Maguire, Gillian O’Reilly, Christopher Plumpton, Peter Molenaar, Spencer P. Harland, Peiran Yang, Andrew Sharkey, Cai Read and Robert C. Glen. Their work appears in journals such as Journal of Cardiovascular Pharmacology, British Journal of Pharmacology, Life Sciences, Clinical Science and Peptides.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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